Edge Vehicle Camera Double Parking Detection
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Solution Overview
Problem
Current automated systems for detecting parking violations, such as double parking, are inefficient and costly due to their reliance on stationary cameras, which have limited field of view and image quality issues, especially in crowded areas, and struggle to scale with increasing vehicle numbers and urban growth.
Innovation Solution
An automated system using edge devices equipped with cameras and semi-supervised learning models to identify vehicles and their positions, monitor rear vehicle lights, and determine double parking status in real-time, allowing for accurate detection and recording of parking violations without the need for cloud-based connectivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If stationary cameras are used to maximize field of view, then coverage area is improved, but image quality deteriorates
Solution Approach 1:
The patent transitions from stationary cameras to mobile cameras mounted on vehicles, allowing the detection system to dynamically move through the environment. This enables the camera to capture high-quality images at close range while systematically covering large areas through vehicle movement, resolving the contradiction between field of view and image quality.
2Area of stationary object
If more stationary cameras are installed to cover larger areas, then detection coverage is improved, but system cost increases
Solution Approach 1:
The mobile camera system mounted on vehicles serves multiple functions: it acts as both a transportation element and a detection device. A single mobile unit can cover multiple locations and detect various parking violations throughout the environment, replacing the need for numerous stationary cameras and reducing overall system cost while maintaining or improving coverage.
3Adaptability or versatility
If manual patrol methods are used to detect parking violations, then flexibility is improved, but efficiency deteriorates
Solution Approach 1:
The patent replaces manual human patrol with an automated system combining mobile camera platforms and image processing algorithms. The system automatically captures images, processes them through machine learning models to detect parking violations, and generates reports without human intervention, thereby maintaining the flexibility of targeted inspection while dramatically improving detection efficiency and productivity.
Data Source
AI summary
An Edge encapsulated method and system for real-time detection of a double parking vehicle blocking parked vehicles by capturing images using a mounted monocular camera then processing using two Semi-Supervised Object Detection (sSOD) stages, that is trained with partly labeled and mostly unlabeled data to optimize the model parameters for the detection problem, gathered by capturing video from moving vehicle passing through multiple different vehicle types and parking systems with unconfined location.